Evaluating Landsat-8 and Sentinel-2 Data Consistency for High Spatiotemporal Inland and Coastal Water Quality Monitoring
Permanent lenke
https://hdl.handle.net/10037/27394Dato
2022-06-30Type
Journal articleTidsskriftartikkel
Peer reviewed
Sammendrag
The synergy of fine-to-moderate-resolutin (i.e., 10–60 m) satellite data of the Landsat-8
Operational Land Imager (OLI) and the Sentinel-2 Multispectral Instrument (MSI) provides a possibility to monitor the dynamics of sensitive aquatic systems. However, it is imperative to assess
the spectral consistency of both sensors before developing new algorithms for their combined use.
This study evaluates spectral consistency between OLI and MSI-A/B, mainly in terms of the topof-atmosphere reflectance (ρt), Rayleigh-corrected reflectance (ρrc), and remote-sensing reflectance
(Rrs). To check the spectral consistency under various atmospheric and aquatic conditions, nearsimultaneous same-day overpass images of OLI and MSI-A/B were selected over diverse coastal and
inland areas across Mainland China and Hong Kong. The results showed that spectral data obtained
from OLI and MSI-A/B were consistent. The difference in the mean absolute percentage error (MAPE)
of the OLI and MSI-A products was ~8% in ρt and ~10% in both ρrc and Rrs for all the matching
bands, whereas the MAPE for OLI and MSI-B was ~3.7% in ρt
, ~5.7% in ρrc, and ~7.5% in Rrs for
all visible bands except the ultra-blue band. Overall, the green band was the most consistent, with
the lowest MAPE of ≤ 4.6% in all the products. The linear regression model suggested that product difference decreased significantly after band adjustment with the highest reduction rate in Rrs
(NIR band) and Rrs (red band) for the OLI–MSI-A and OLI–MSI-B comparison, respectively. Further,
this study discussed the combined use of OLI and MSI-A/B data for (i) time series of the total suspended solid concentrations (TSS) over coastal and inland waters; (ii) floating algae area comparison;
and (iii) tracking changes in coastal floating algae (FA). Time series analysis of the TSS showed that
seasonal variation was well-captured by the combined use of sensors. The analysis of the floating
algae bloom area revealed that the algae area was consistent, however, the difference increases as the
time difference between the same-day overpasses increases. Furthermore, tracking changes in coastal
FA over two months showed that thin algal slicks (width < 500 m) can be detected with an adequate
spatial resolution of the OLI and the MSI.
Forlag
MDPISitering
Hafeez, Wong, Abbas, Asim. Evaluating Landsat-8 and Sentinel-2 Data Consistency for High Spatiotemporal Inland and Coastal Water Quality Monitoring. Remote Sensing. 2022;14(13)Metadata
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